The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 24, 2023

Filed:

Nov. 23, 2021
Applicant:

Akamai Technologies, Inc., Cambridge, MA (US);

Inventors:

David Senecal, Santa Clara, CA (US);

Andrew Kahn, San Francisco, CA (US);

Ory Segal, Herzliya, IL;

Elad Shuster, Herzliya, IL;

Duc Nguyen, Santa Clara, CA (US);

Assignee:

Akamai Technologies, Inc., Cambridge, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); H04L 9/40 (2022.01); G06N 20/00 (2019.01); H04L 67/02 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1483 (2013.01); G06N 20/00 (2019.01); H04L 63/166 (2013.01); H04L 67/02 (2013.01);
Abstract

A method of bot detection in a computer network leverages a machine learning system. The machine learning system receives a fingerprint derived at a server, the server having extracted a set of transport layer security parameters received from a client and processed the set parameters into the fingerprint. Based at least in part on the fingerprint, the learning system determines whether the client is likely to be a bot as opposed to a human user. The system generates and returns to the server as score having a first value when the fingerprint is determined to be associated with a good client, and having a second value when the fingerprint is determined to be associated with a bot. Based on the score received from the machine learning system, the server takes a configured action with respect to the client.


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